UCS551 REVISION

What is data analytics? 

• The study of ancient data 

• The process of extracting insights from data 

• A type of data storage format 

• A programming language

All of these are levels of measurement except:

• Ratio Data

• Interval Data

• Ordinal Data

• Nominal Data

• Descriptive Data

Which of these are the type of data analytics?

• Predictive analytics

• Diagnostic analytics

• Prescriptive analytics

• Descriptive analytics

• All of these

In the scenario where a retail company analyzes historical data to understand the causes behind a sudden decrease in product sales, which type of data analytics is being employed?

• Predictive analytics

• Descriptive analytics

• Diagnostic analytics

• Prescriptive analytics

In a dataset capturing information about customer purchases, including columns like "Customer ID," "Product Name," "Price," and an unexpected column labeled "Sensor Reading," you've realized that the "Sensor Reading" column doesn't provide relevant information for your analysis. What is the appropriate step to enhance the dataset?

• Remove duplicate rows

• Fill in missing values

• Remove the "Sensor Reading" column

• Standardize numerical values

Univariate Data is data set that consist of a _________ variable while Multivariate Data is data set that consist of a _________ variables.

• single, multiple

• multiple, single

• single, categorical

• time-series, categorical

What step needed because of incomplete, noisy, and inconsistent data are common place properties of large real world database and data warehouse.

• Data Warehousing

• Data Collecting

• Data Preprocessing

• Data Storage

In a retail corporation, the sales, inventory, and customer service departments maintain separate databases. To obtain a comprehensive view of customer interactions, what process is essential for combining these datasets?

• Data normalization

• Data cleansing

• Data aggregation

• Data integration

In the context of data analysis, what technique involves representing data graphically to identify patterns, trends, and insights more effectively?

• Data normalization

• Data visualization

• Data integration

• Data aggregation

What type of chart is shown ?